A BDI Agents Programming Language Based Fuzzy Beliefs
Mei Chen · 2015
The Belief-Desire-Intention (BDI) model is well suited for describing an agent's mental state. To model human reasoning with uncertainty and imprecision, fuzzy logic have been employed to represent beliefs for BDI agents in our previous work. In order that the BDI agents are more and more suitable for modelling our real world, a BDI agent programming language with fuzzied-belief based on a existing BDI agent programming language is developed in this paper. The new language is more flexible and human-like compared to non-fuzzy based BDI agent language in the real world applications. Particularly, it provides a more reasonable planning selection mechanism. The reasoning capability of the previous BDI language is improved due to the work in this paper.